Stars
A django website used in the book Practical Recommender Systems to illustrate how recommender algorithms can be implemented.
Examples of programs built using Modal
A beautiful, simple, clean, and responsive Jekyll theme for academics
A Python wrapper to setup and run the hydrologic modelling framework Raven
SuperflexPy: The flexible language of hydrological modelling
Official code repo for the O'Reilly Book - "Hands-On Large Language Models"
Python library to create hydrological models for rainfall-runoff prediction using deep learning methods
💧 This repository holds a list of open source Python packages interesting to Hydrologists
Fast Python Collaborative Filtering for Implicit Feedback Datasets
TorchHydro: datasets, and models for watershed hydrological modeling
Datasets downloader and reader for Hydrologic Modeling
Study materials on Information Theory and its relations with physical systems models
SwiftHBV is a HBV hydrological model package for Swift. Calibration with the Nelder–Mead method.
A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX
Hybrid Hydrological modeling using Deep Learning methods
The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery 🧑🔬
Free hands-on course about Graph Neural Networks using PyTorch Geometric.
The Proper Care and Feeding of CAMELS: How Limited Training Data Affects Streamflow Prediction
PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations
The Laboratory of Dr Joshua Ho, School of Biomedical Sciences, Li Ka Shing Faculty of Medicine, The University of Hong Kong.
This repository is an implementation for the loss function proposed in https://arxiv.org/pdf/2110.06848.pdf.
👥 轻松创建研究组或组织网站 Easily create a stunning Research Group, Team, or Business Website with no-code
🎓 无需编写任何代码即可轻松创建漂亮的学术网站 Easily create a beautiful academic résumé or educational website using Hugo and GitHub. No code.
Model of water in/out of a bucket. Training an LSTM.
This repository is a curated collection of links to various courses and resources about Artificial Intelligence (AI)
PyTorch implementation of the InfoNCE loss for self-supervised learning.